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The chromatic variance matrix in digital image based methods for the potential evaluation as quantitative procedures

机译:基于数字图像的色度方差矩阵作为定量程序的潜力评估方法

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The dispersion matrix or chromatic variance of digital images was proposed to characterize the color amplitude and hence the potential sensitivity of Digital Image Colorimetric determinations. The study provided a generalizable model that quantitatively explained the influence of the analyte and instrumental factors in the color measurements. RGB reflected colors of the yellow-orange complex formed by Hydrogen Peroxide with Ti(IV) were captured by a compact digital camera in an experimental dynamic range. In this context, the dispersion Covariance-Variance matrix of the color information provided the amplitude of the chromatic system. Subsequently Analysis of Variance and Multivariate Statistical demonstrated that 87% of the chromatic variance could be justified by the Hydrogen Peroxide concentration influence, while the camera, as an instrumental effect, and the preparation method, accounted for the 10% and 3%, respectively. Also, the behavior of alternative chromatic variables has been compared. Hydrogen Peroxide presented a ready and efficient digital determination in the range 1-40 mg L-1. Statistical comparison with standard procedures demonstrated the absence of systematic errors. (C) 2016 Elsevier B.V. All rights reserved.
机译:提出了数字图像的色散矩阵或色差来表征颜色幅度,从而表征数字图像比色测定的潜在灵敏度。该研究提供了一个可概括的模型,该模型定量解释了颜色测量中分析物和仪器因素的影响。紧凑型数码相机在实验动态范围内捕获了过氧化氢与Ti(IV)形成的黄橙色配合物的RGB反射色。在这种情况下,颜色信息的色散协方差-方差矩阵提供了色度系统的振幅。随后的方差分析和多元统计分析表明,过氧化氢浓度的影响可以证明87%的色差是合理的,而相机(作为一种工具效果)和制备方法分别占了10%和3%。另外,还比较了其他色变量的行为。过氧化氢在1-40 mg L-1范围内提供了一种快速有效的数字测定方法。与标准程序的统计比较表明没有系统错误。 (C)2016 Elsevier B.V.保留所有权利。

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